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Artificial intelligence, machine learning, and deep learning in rhinology: a systematic review
25
Zitationen
8
Autoren
2022
Jahr
Abstract
AI has vast potential in rhinology, but an inherent lack of accessible code sources does not allow for sharing results and advancing research without reconstructing models from scratch. While data pools do not necessarily represent a problem for model construction, presently available tools appear limited in allowing employment of raw clinical data, thus demanding immense interpretive work prior to the analytic process.
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